Dose Optimization in Oncology Drug Development: An International Consortium for Innovation and Quality in Pharmaceutical Development White Paper.


Journal

Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741

Informations de publication

Date de publication:
16 May 2024
Historique:
received: 09 02 2024
accepted: 25 04 2024
medline: 16 5 2024
pubmed: 16 5 2024
entrez: 16 5 2024
Statut: aheadofprint

Résumé

The landscape of oncology drug development has witnessed remarkable advancements over the last few decades, significantly improving clinical outcomes and quality of life for patients with cancer. Project Optimus, introduced by the U.S. Food and Drug Administration, stands as a groundbreaking endeavor to reform dose selection of oncology drugs, presenting both opportunities and challenges for the field. To address complex dose optimization challenges, an Oncology Dose Optimization IQ Working Group was created to characterize current practices, provide recommendations for improvement, develop a clinical toolkit, and engage Health Authorities. Historically, dose selection for cytotoxic chemotherapeutics has focused on the maximum tolerated dose, a paradigm that is less relevant for targeted therapies and new treatment modalities. A survey conducted by this group gathered insights from member companies regarding industry practices in oncology dose optimization. Given oncology drug development is a complex effort with multidimensional optimization and high failure rates due to lack of clinically relevant efficacy, this Working Group advocates for a case-by-case approach to inform the timing, specific quantitative targets, and strategies for dose optimization, depending on factors such as disease characteristics, patient population, mechanism of action, including associated resistance mechanisms, and therapeutic index. This white paper highlights the evolving nature of oncology dose optimization, the impact of Project Optimus, and the need for a tailored and evidence-based approach to optimize oncology drug dosing regimens effectively.

Identifiants

pubmed: 38752712
doi: 10.1002/cpt.3298
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Divya Samineni (D)

Genentech, Inc., South San Francisco, California, USA.

Karthik Venkatakrishnan (K)

EMD Serono Research and Development Institute, Inc., Billerica, Massachusetts, USA.

Ahmed A Othman (AA)

Gilead Sciences, Inc., Foster City, California, USA.

Yazdi K Pithavala (YK)

Pfizer, San Diego, California, USA.

Srinivasu Poondru (S)

Astellas Pharma Global Development, Inc., Northbrook, Illinois, USA.

Chirag Patel (C)

Bayer, Cambridge, Massachusetts, USA.

Pavan Vaddady (P)

Daiichi Sankyo, Inc., Basking Ridge, New Jersey, USA.

Wendy Ankrom (W)

Blueprint Medicines Inc, Cambridge, Massachusetts, USA.

Saroja Ramanujan (S)

Genentech, Inc., South San Francisco, California, USA.

Nageshwar Budha (N)

BeiGene USA Inc., San Mateo, California, USA.

Michael Wu (M)

Genentech, Inc., South San Francisco, California, USA.

Nahor Haddish-Berhane (N)

Johnson and Johnson Innovative Medicine, Spring House, Pennsylvania, USA.

Holger Fritsch (H)

Boehringer Ingelheim Pharma GmbH & Co KG, Biberach an der Riss, Germany.

Azher Hussain (A)

Merck & Co. Inc., Lansdale, Pennsylvania, USA.

Jitendra Kanodia (J)

Xencor, Pasadena, California, USA.

Meng Li (M)

Bristol Myers Squibb, Princeton, New Jersey, USA.

Mengyao Li (M)

Sanofi, Bridgewater, New Jersey, USA.

Murad Melhem (M)

GlaxoSmithKline, Waltham, Massachusetts, USA.

Apurvasena Parikh (A)

AbbVie, South San Francisco, California, USA.

Vijay V Upreti (VV)

Amgen Inc., South San Francisco, California, USA.

Neeraj Gupta (N)

Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.

Classifications MeSH